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    • 82. 发明授权
    • Abbreviation expansion based on learned weights
    • 基于学习权重的缩写扩展
    • US07848918B2
    • 2010-12-07
    • US11538770
    • 2006-10-04
    • Hua LiSong HuangZheng ChenJian Wang
    • Hua LiSong HuangZheng ChenJian Wang
    • G06F17/27G06F17/21G10L21/00
    • G06F17/28
    • A method and system for identifying expansions of abbreviations using learned weights is provided. An abbreviation system generates features for various expansions of an abbreviation and generates a score indicating the likelihood that an expansion is a correct expansion of the abbreviation. A expansion with the same number of words as letters in the abbreviation is more likely in general to be a correct expansion than an expansion with more or fewer words. The abbreviation system calculates a score based on a weighted combination of the features. The abbreviation system learns the weights for the features from training data of abbreviations, candidate expansions, and scores for the candidate expansions.
    • 提供了一种用于使用学习的权重来识别缩写的扩展的方法和系统。 缩写系统产生缩写的各种扩展的特征,并生成表示扩展是缩写的正确扩展的可能性的分数。 与缩写中的字母相同数量的单词的扩展通常可能是具有更多或更少单词的扩展的正确扩展。 缩写系统基于特征的加权组合来计算得分。 缩写系统从候选扩展的缩写,候选扩展和分数的训练数据中学习特征的权重。
    • 84. 发明申请
    • ABBREVIATION EXPANSION BASED ON LEARNED WEIGHTS
    • 基于知识权重的缩小扩张
    • US20080086297A1
    • 2008-04-10
    • US11538770
    • 2006-10-04
    • Hua LiSong HuangZheng ChenJian Wang
    • Hua LiSong HuangZheng ChenJian Wang
    • G06F17/28
    • G06F17/28
    • A method and system for identifying expansions of abbreviations using learned weights is provided. An abbreviation system generates features for various expansions of an abbreviation and generates a score indicating the likelihood that an expansion is a correct expansion of the abbreviation. A expansion with the same number of words as letters in the abbreviation is more likely in general to be a correct expansion than an expansion with more or fewer words. The abbreviation system calculates a score based on a weighted combination of the features. The abbreviation system learns the weights for the features from training data of abbreviations, candidate expansions, and scores for the candidate expansions.
    • 提供了一种用于使用学习的权重来识别缩写的扩展的方法和系统。 缩写系统产生缩写的各种扩展的特征,并生成表示扩展是缩写的正确扩展的可能性的分数。 与缩写中的字母相同数量的单词的扩展通常可能是具有更多或更少单词的扩展的正确扩展。 缩写系统基于特征的加权组合来计算得分。 缩写系统从候选扩展的缩写,候选扩展和分数的训练数据中学习特征的权重。
    • 86. 发明授权
    • GUI based web search
    • 基于GUI的网页搜索
    • US08949215B2
    • 2015-02-03
    • US12038588
    • 2008-02-27
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • G06F17/30
    • G06F17/30696G06F17/30643G06F17/30864
    • An exemplary computer implemented graphics-based Web search system includes a search input control and a results presentation control where the search input control is configured to receive user input to establish a relationship between a query and one or more information tags associated with search results provided by a search engine in response to the query and wherein the results presentation control is configured to re-order the search results in response to the relationship. Such a system allows a user to define and refine search intent and enhance the user's search experience. Various other exemplary systems, methods, devices, etc. are also disclosed.
    • 示例性的计算机实现的基于图形的Web搜索系统包括搜索输入控制和结果呈现控制,其中搜索输入控件被配置为接收用户输入以建立查询与与由搜索结果提供的搜索结果相关联的一个或多个信息标签之间的关系 搜索引擎,其响应于所述查询,并且其中所述结果呈现控制被配置为响应于所述关系重新排序所述搜索结果。 这样的系统允许用户定义和优化搜索意图并增强用户的搜索体验。 还公开了各种其它示例性系统,方法,装置等。
    • 90. 发明申请
    • SEARCHING HETEROGENEOUS INTERRELATED ENTITIES
    • 搜索异构中介实体
    • US20080215565A1
    • 2008-09-04
    • US11853613
    • 2007-09-11
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • G06F17/30
    • G06F17/30867
    • Systems and methods for searching heterogeneous interrelated entities for a heterogeneous entities search query are disclosed herein. A user may enter the heterogeneous entities search query. The search retrieves and returns multiple types of heterogeneous entities. The retrieved heterogeneous interrelated entities are searched in a unified matrix that represents relationships between one or more heterogeneous entities. The retrieved heterogeneous interrelated entities may have one or more entity types. The set of retrieved interrelated entities may also be ranked based on the similarity between each entity and the search query. Feedback may also be incorporated into the system to improve search accuracy.
    • 本文公开了用于异构实体搜索查询的异构相关实体的搜索的系统和方法。 用户可以输入异构实体搜索查询。 搜索检索并返回多种类型的异构实体。 检索到的异构相关实体在表示一个或多个异构实体之间的关系的统一矩阵中进行搜索。 所检索的异构相关实体可以具有一个或多个实体类型。 还可以根据每个实体和搜索查询之间的相似性对所检索的相关实体的集合进行排名。 反馈也可以并入系统以提高搜索精度。